code: def test_forward_pass_runs_correctly(self):
      training_tensors = self.dataset.as_tensor_dict()
      output_dict = self.model(**training_tensors)
      output_dict = self.model.make_output_human_readable(output_dict)
      class_probs = output_dict["class_probabilities"][0].data.numpy()
      numpy.testing.assert_almost_equal(
          numpy.sum(class_probs, -1), numpy.array([1, 1, 1, 1])
      )
  
imports: from flaky import flaky
  import numpy
  import pytest
  import torch
  from allennlp.common.testing import ModelTestCase
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.params import Params
  from allennlp.data.dataset_readers import DatasetReader
  from allennlp.data.data_loaders import DataLoader, SimpleDataLoader
  from allennlp.models import Model
  from allennlp.training import GradientDescentTrainer, Trainer
label_desc: Use image node_id 4 for calling the SimpleTaggerTest obj's underlying member method code with example usage: obj.test_forward_pass_runs_correctly() without return types